Other postgraduate courses

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EPS Python course 2023
6, 13 and 20 June 2023
This course is organized over three days. With the help of plenty hands-on exercises, you will get introduced into the different types of variables in Python, the peculiarities of Python and good programming habits. This course will provide you an ideal stepping stone for further developing programming skills in Python. Throughout the course we’ll stress the importance of ‘good programming practice’, such as clear variable names and adding comments to your code.
Molecular Epidemiology of Complex Diseases
12 - 16 June 2023
Epidemiology has been proven invaluable to identify associations between exposure and disease, in particular because it enables us to study long-term effects of ‘normal’ variation in exposure in populations. However, traditional epidemiology does so without obtaining information on the biological processes that underlie these associations.
Algorithms for Biomolecular Networks (Advanced)
26 - 30 June 2023
Molecular biology is concerned with the study of the presence of and interactions between molecules, at the cellular and sub-cellular level. In bioinformatics and systems biology, algorithms and tools are developed to model these interactions, with various goals: predicting yet unobserved interactions, assigning functions to yet unknown molecules through their relations with known molecules; predicting certain phenotypes such as diseases; or just to build up biological knowledge in a structured way.
Algorithms for Genomics
9 - 13 October 2023
In this course, we will cover genome analysis, variant analysis, and pangenomics. Core concepts, applications, and future trends will be discussed, with a focus on the algorithms and data structures underlying state-of-the-art methods. The course offers an engaging mix of lectures, paper discussions, hands-on tutorials, and a do-it-yourself project.
Integrated Modeling and Optimization (Fundamental)
11 - 15 December 2023
The students will be provided with a theoretical basis, a variety of methods, and a computational hands-on experience to set-up systems biology models and handle numerical optimization.